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Browsing Articles (Hospital del Mar Research Institute) by Subject "Machine learning"

Browsing Articles (Hospital del Mar Research Institute) by Subject "Machine learning"

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  • March-Vila, Eric; Ferretti, Giacomo; Terricabras, Emma; Ardao, Inés; Brea, José Manuel; Varela, María José; Arana, Álvaro; Rubiolo, Juan Andrés; Sanz, Ferran; Loza, María I.; Sánchez, Laura; Alonso, Héctor; Pastor Maeso, Manuel (Springer, 2023)
    There is a widely recognized need to reduce human activity's impact on the environment. Many industries of the leather and textile sector (LTI), being aware of producing a significant amount of residues (Keßler et al. 2021; ...
  • Aguirre Plans, Joaquim, 1993-; Piñero González, Janet, 1977-; Souza, Terezinha; Callegaro, Giulia; Kunnen, Steven J.; Sanz, Ferran; Fernández Fuentes, Narcís; Furlong, Laura I., 1971-; Guney, Emre; Oliva Miguel, Baldomero (BioMed Central, 2021)
    Background: Drug-induced liver injury (DILI) is an adverse reaction caused by the intake of drugs of common use that produces liver damage. The impact of DILI is estimated to affect around 20 in 100,000 inhabitants worldwide ...
  • Bertoni, Martino; Duran-Frigola, Miquel, 1985-; Badia-I-Mompel, Pau; Pauls, Eduardo; Orozco Ruiz, Modesto; Guitart Pla, Oriol; Alcalde, Víctor; Diaz, Víctor M.; Berenguer-Llergo, Antonio; Brun-Heath, Isabelle; Villegas, Núria; García de Herreros, Antonio; Aloy, Patrick, 1972- (Nature Research, 2021)
    Chemical descriptors encode the physicochemical and structural properties of small molecules, and they are at the core of chemoinformatics. The broad release of bioactivity data has prompted enriched representations of ...
  • Cuadrado-Godia, Elisa; Dwivedi, Pratistha; Sharma, Sanjiv; Ois Santiago, Angel Javier; Roquer, Jaume; Balcells, Mercedes; Laird, John R.; Turk, Monika; Suri, Harman S.; Nicolaides, Andrew; Saba, Luca; Khanna, Narendra N.; Suri, Jasjit S. (Korean Stroke Society, 2018)
    Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD ...
  • Bajorath, Jürgen; Chávez-Hernández, Ana L.; Duran-Frigola, Miquel, 1985-; Fernández-de Gortari, Eli; Gasteiger, Johann; López-López, Edgar; Maggiora, Gerald M.; Medina-Franco, José L.; Méndez-Lucio, Oscar; Mestres i López, Jordi; Miranda-Quintana, Ramón Alain; Oprea, Tudor I.; Plisson, Fabien; Prieto-Martínez, Fernando D.; Rodríguez-Pérez, Raquel; Rondón-Villarreal, Paola; Saldívar-Gonzalez, Fernanda I.; Sánchez-Cruz, Norberto; Valli, Marilia (Springer, 2022)
    We report the main conclusions of the first Chemoinformatics and Artificial Intelligence Colloquium, Mexico City, June 15-17, 2022. Fifteen lectures were presented during a virtual public event with speakers from industry, ...
  • Rodríguez, Alejandro; Marín Corral, Judith; Ferrer, Ricard; COVID-19 SEMICYUC Working Group (BioMed Central, 2021)
    Background: The identification of factors associated with Intensive Care Unit (ICU) mortality and derived clinical phenotypes in COVID-19 patients could help for a more tailored approach to clinical decision-making that ...
  • Mortier, Philippe; Amigo, Franco; Conde, Susana; Ferrer Forés, Maria Montserrat; Latorre Moreno, Laura; Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Pérez Solá, Victor; Portillo-Van Diest, Ana; Ramírez Anguita, Juan Manuel; Sanz, Ferran; Vilagut Saiz, Gemma, 1975-; Alonso Caballero, Jordi; Pastor Maeso, Manuel; Qin, Ping (BioMed Central, 2024)
    Background: Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty in risk assessment may contribute to ...
  • Bharat, Chrianna; Alonso Caballero, Jordi; Vilagut Saiz, Gemma, 1975-; Degenhardt, Louisa (Wiley, 2023)
    Aims: Likelihood of alcohol dependence (AD) is increased among people who transition to greater levels of alcohol involvement at a younger age. Indicated interventions delivered early may be effective in reducing risk, but ...
  • Bringezu, Frank; Gómez-Tamayo, José C.; Pastor Maeso, Manuel (Elsevier, 2021)
    Mitochondria are intracellular organelles found in most eukaryotic cells. Mitochondrial function includes the generation of cellular energy, maintenance of cellular homeostasis, and metabolic processes. Mitochondrial ...
  • Zhang-James, Yanli; Helminen, Emily C.; Liu, Jinru; ENIGMA-ADHD Working Group; Franke, Barbara; Hoogman, Martine; Faraone, Stephen V. (Nature Research, 2021)
    Attention-deficit/hyperactivity disorder (ADHD) affects 5% of children world-wide. Of these, two-thirds continue to have impairing symptoms of ADHD into adulthood. Although a large literature implicates structural brain ...
  • Andrade-Campos, Marcio; López de Frutos, Laura; Cebolla, Jorge J.; Serrano-Gonzalo, Irene; Medrano-Engay, Blanca; Roca-Espiau, Mercedes; Gómez-Barrera, Beatriz; Pérez-Heredia, Jorge; Iniguez, David; Giraldo, Pilar (BioMed Central, 2020)
    Background: Since enzyme replacement therapy for Gaucher disease (MIM#230800) has become available, both awareness of and the natural history of the disease have changed. However, there remain unmet needs such as the ...
  • Giannoula, Alexia; Gutiérrez Sacristán, Alba; Bravo Serrano, Àlex, 1984-; Sanz, Ferran; Furlong, Laura I., 1971- (Nature Publishing Group, 2018)
    Time is a crucial parameter in the assessment of comorbidities in population-based studies, as it permits to identify more complex disease patterns apart from the pairwise disease associations. So far, it has been, either, ...
  • Sánchez-Carro, Yolanda; De la Torre-Luque, Alejandro; Leal-Leturia, Itziar; Salvat-Pujol, Neus; Massaneda, Clara; de Arriba-Arnau, Aida; Urretavizcaya, Mikel; Pérez Solá, Victor; Toll Privat, Alba; Martínez-Ruiz, Antonio; Ferreirós-Martínez, Raquel; Pérez, Salvador; Sastre, Juan; Álvarez, Pilar; Soria, Virginia; López-García, Pilar (Elsevier, 2023)
    Although there is scientific evidence of the presence of immunometabolic alterations in major depression, not all patients present them. Recent studies point to the association between an inflammatory phenotype and certain ...
  • Spitzer, Hannah; Delgado-Martínez, Ignacio; Pérez Enríquez, Carmen; González-Ortiz, Sofía; Wagstyl, Konrad (Oxford University Press, 2022)
    One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural ...
  • Fernández-Pérez, Isabel; Jiménez-Balado, Joan; Lazcano, Uxue; Giralt-Steinhauer, Eva; Rey Álvarez, Lucía; Cuadrado Godia, Elisa; Rodríguez-Campello, Ana; Macias-Gómez, Adrià; Suárez-Pérez, Antoni; Revert-Barberá, Anna; Estragués-Gázquez, Isabel; Soriano Tarraga, Carolina; Roquer, Jaume; Ois, Ángel; Jiménez Conde, Jordi (MDPI, 2023)
    Age acceleration (Age-A) is a useful tool that is able to predict a broad range of health outcomes. It is necessary to determine DNA methylation levels to estimate it, and it is known that Age-A is influenced by environmental, ...
  • Bretzner, Martin; Jimenez-Conde, Jordi; Rost, Natalia (Frontiers, 2021)
    Objective: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing ...
  • Saba, Luca; Biswas, Mainak; Kuppili, Venkatanareshbabu; Cuadrado-Godia, Elisa; Suri, Harman S.; Edla, Damodar Reddy; Omerzu, Tomaž; Laird, John R.; Khanna, Narendra N.; Mavrogeni, Sophie; Protogerou, Athanasios; Sfikakis, Petros P.; Viswanathan, Vijay; Kitas, George D.; Nicolaides, Andrew; Gupta, Ajay; Jasjit S. Suri (Elsevier, 2019)
    The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within ...
  • Kopańska, Karolina; Rodríguez-Belenguer, Pablo; Llopis-Lorente, Jordi; Trenor, Beatriz; Saiz, Javier; Pastor Maeso, Manuel (Springer, 2023)
    In silico methods can be used for an early assessment of arrhythmogenic properties of drug candidates. However, their use for decision-making is conditioned by the possibility to estimate the predictions' uncertainty. This ...
  • Rodríguez-Belenguer, Pablo; March-Vila, Eric; Pastor Maeso, Manuel; Mangas Sanjuan, Victor; Soria Olivas, Emilio (Elsevier, 2023)
    New Approach Methodologies (NAMs) have ushered in a new era in the field of toxicology, aiming to replace animal testing. However, despite these advancements, they are not exempt from the inherent complexities associated ...

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